Influencing Factors on the Household-Waste-Classification Behavior of Urban Residents: A Case Study in Shanghai.


Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
27 05 2022
Historique:
received: 25 04 2022
revised: 23 05 2022
accepted: 24 05 2022
entrez: 10 6 2022
pubmed: 11 6 2022
medline: 14 6 2022
Statut: epublish

Résumé

As the process of urbanization in China continues to accelerate, the amount of domestic waste generated correspondingly increases and directly affects the living space of residents. This indirectly implies that to reduce the production of municipal solid waste and the need for garbage disposal and recycling, household-waste-classification activities by the residents are of great significance. Using Shanghai as a case study, this study investigated the influencing factors on residents' household waste classification by conducting a survey. Statistical analysis was then adopted, which is specified below. First, this study proposed research hypotheses related to the influencing factors of residents' domestic-waste-sorting behavior from three levels: government, society and individuals. Second, the study designed a questionnaire from five perspectives: individual characteristic variables, government, society, residents and classification behavior. Then, SPSS software was used to carry out descriptive statistical, reliability and validity assessments using ANOVA, correlation and regression analyses on the sample data obtained from the questionnaire. The results suggested that the research hypotheses were statistically significant: (1) females and residents with higher education were more likely to participate in domestic waste classification; (2) reward and punishment measures had the most significant impact on residents' waste-classification behavior; and (3) publicity and education, classification standards, classification facilities, the recycling system, subjective norms, environmental knowledge and environmental attitudes all had a positive effect on residents' household waste classification. Finally, based on the results of the empirical analysis, this paper provides reference suggestions for the further development of domestic waste classification in Shanghai.

Identifiants

pubmed: 35682113
pii: ijerph19116528
doi: 10.3390/ijerph19116528
pmc: PMC9180709
pii:
doi:

Substances chimiques

Solid Waste 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Waste Manag. 2019 Apr 15;89:313-321
pubmed: 31079745
J Environ Manage. 2019 Mar 1;233:447-458
pubmed: 30593004
J Environ Manage. 2019 Nov 15;250:109468
pubmed: 31505381
Waste Manag. 2020 Jul 15;113:41-50
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Int J Environ Res Public Health. 2017 Nov 29;14(12):
pubmed: 29186016
Waste Manag. 2014 Jun;34(6):980-6
pubmed: 24252373
Waste Manag. 2013 May;33(5):1276-81
pubmed: 23415709
Waste Manag Res. 2017 Jan;35(1):3-28
pubmed: 27628285
Waste Manag Res. 2016 May;34(5):449-56
pubmed: 26922086
J Environ Manage. 2021 Jul 15;290:112591
pubmed: 33878629
Int J Environ Res Public Health. 2020 Dec 01;17(23):
pubmed: 33271752
Waste Manag Res. 2008 Apr;26(2):140-6
pubmed: 18578153

Auteurs

Decai Tang (D)

School of Law and Public Affairs, Nanjing University of Information Science & Technology, Nanjing 210044, China.
School of Law and Business, Sanjiang University, Nanjing 210012, China.
China Institute of Manufacturing Development, Nanjing University of Information Science & Technology, Nanjing 210044, China.

Lei Shi (L)

School of Law and Public Affairs, Nanjing University of Information Science & Technology, Nanjing 210044, China.

Xiaojuan Huang (X)

School of Business, Jiangsu Open University, Nanjing 210000, China.

Ziqian Zhao (Z)

China Institute of Manufacturing Development, Nanjing University of Information Science & Technology, Nanjing 210044, China.

Biao Zhou (B)

School of Foreign Languages, Nangjing University of Finance and Economics, Nanjing 210023, China.

Brandon J Bethel (BJ)

School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China.

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Classifications MeSH